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Class prediction for high-dimensional class-imbalanced data

Overview of attention for article published in BMC Bioinformatics, October 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

patent
2 patents
q&a
2 Q&A threads

Citations

dimensions_citation
191 Dimensions

Readers on

mendeley
232 Mendeley
citeulike
7 CiteULike
connotea
1 Connotea
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Title
Class prediction for high-dimensional class-imbalanced data
Published in
BMC Bioinformatics, October 2010
DOI 10.1186/1471-2105-11-523
Pubmed ID
Authors

Rok Blagus, Lara Lusa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United States 2 <1%
Netherlands 2 <1%
France 2 <1%
Brazil 1 <1%
Malaysia 1 <1%
Iran, Islamic Republic of 1 <1%
Canada 1 <1%
China 1 <1%
Other 1 <1%
Unknown 218 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 26%
Student > Master 41 18%
Researcher 25 11%
Student > Bachelor 15 6%
Student > Doctoral Student 12 5%
Other 36 16%
Unknown 42 18%
Readers by discipline Count As %
Computer Science 61 26%
Agricultural and Biological Sciences 28 12%
Engineering 17 7%
Medicine and Dentistry 14 6%
Mathematics 13 6%
Other 38 16%
Unknown 61 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2021.
All research outputs
#2,703,316
of 22,815,414 outputs
Outputs from BMC Bioinformatics
#888
of 7,284 outputs
Outputs of similar age
#11,169
of 99,443 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 57 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 99,443 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.